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Eden Prairie, Minnesota Street Address
wt PHONE NUMBER AVAILABLE
tewes W: EMAIL AVAILABLE
skills
Programming Languages: Python,
professional summary
Java, Julia, C++, Swift, SQL, R
I am a data science professional with hands-on experience in applying machine learning and AI Machine Learning Techniques:
to real world problems. I'm adept at developing and optimizing advanced regression models, Neural Networks, Random Forests,
deep learning algorithms, and AI-driven tools to automate planning processes. I'm skilled in and Regression Models
leveraging large datasets, collaborating with cross-functional teams, and integrating AI solutions
Frontend Development: HTML, CSS,
with CAD software to streamline workflows in design. I have a proven track record in improving
JavaScript
predictive accuracy, reducing design time, and driving innovation.
Microsoft Azure & AWS
experience Data Wrangling and Preprocessing
PyTorch & TenserFlow
3M | California
June 2022 - September 2023 CAD Software
Data Scientist - Predictive Modeling & AI for Orthodontics Open GL & Three.js
Developed predictive models for simulating tooth movement in orthodontic aligners using Tableau
advanced machine learning algorithms
FEA
Implemented and optimized regression models, including random forests and gradient
boosting, to accurately predict tooth displacement over treatment stages
Utilized deep learning techniques such as convolutional neural networks (CNNs) for 3D
dental image analysis and tooth segmentation
Collaborated with orthodontic experts to refine predictive algorithms for real-world
applications, enhancing treatment accuracy and patient outcomes
Designed and executed experiments to validate machine learning models against real patient
data, ensuring high predictive accuracy
Automated treatment planning processes using AI, reducing manual intervention by
orthodontists and improving workflow efficiency
Analyzed large datasets of patient dental scans and treatment outcomes to train and test
predictive models
Integrated machine learning models with CAD software used to design aligners, streamlining
the design-to-production workflow
Presented findings and model improvements to cross-functional teams, including data
scientists and orthodontic specialists, for further refinement
Contributed to the development of AI-driven tools for automating the treatment sequence,
reducing design time, and improving the standardization of aligner treatment plans
education
Bachelor of Arts (B.A.) - Computer Science, Data Science, and Statistics
June 2024
Lawrence University, Appleton, Wisconsin
Graduated with 3.91 GPA
Graduated Summa Cum Laude
Dean's List 2020-2024
Vice President of the Lawrence University Data Science Club
4 years of Varsity Baseball with All-Conference Honors
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